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I am working with Rstudio on a dataset that includes two treatments and a response that is in Kg. I am trying to summarize and get the mean of kg by TRT. However, I got the same values for both responses. My dataset is much bigger than the data enclosed below but are the same variables.

However, when I work with those nine values, I get the real response, but I get the same mean for both when I work with my dataset (second code). I have no idea what I am missing.

Trt    Kg
 <chr> <dbl>
 CON    38.6
 CON    37.2
 CON    31.3
 CON    33.1
 CON    36.3
 TRT    34.8
 TRT    33.4
 TRT    33.5
 TRT    33.3
 


EXPBW <-data.frame(Trt, kg)

 EXPF <- EXPBW %>%
  dplyr::group_by(Trt) %>%
  dplyr::summarize(mean_cw = mean(kg))

    
  View(EXPF)

trt  mean_cw
TRT    33.75
CON    35.30

Clearly when I work with a small dataset works

However, when I work with my real dataset I get the same mean values for the two groups

SECOND DATASET

 CW <- tabla  %>%
   dplyr::group_by(tabla$Trt) %>%
   dplyr::summarize(mean_cw = mean(tabla$CBWKg))
    
    View(CW)

    
    tabla$Trt   mean_cw
    GB         37.93381
    CON        37.93381
Ronak Shah
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  • Don't use `$` in `dplyr` chains. Like in your first example (which works) use variables without `$`. `CW % dplyr::group_by(Trt) %>% dplyr::summarize(mean_cw = mean(CBWKg))` – Ronak Shah Dec 23 '21 at 01:50

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